Artwork

Indhold leveret af Trevor Page: Java Guru | Programmer | Teacher. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Trevor Page: Java Guru | Programmer | Teacher eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
Player FM - Podcast-app
Gå offline med appen Player FM !

Fixing Duplicate Data from Hibernate Queries

31:48
 
Del
 

Manage episode 435157845 series 3594147
Indhold leveret af Trevor Page: Java Guru | Programmer | Teacher. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Trevor Page: Java Guru | Programmer | Teacher eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
How to Fix Duplicate Data from Hibernate Queries

This problem was the bane of my existence when I first started using Hibernate because I had no idea where the problem was coming from.

If you’re executing a query and finding that you have a bunch of duplicate records and haven’t a clue why, then you’re in the right place.

You see the problem is typically caused by having left joins (or optional joins) in your objects. When you have a base object, like say User and it joins to another table/object in an optional One-to-Many or optional Many-to-Many format, then you may get duplicates.

Consider this scenario… A User objects joins to the LoginHistory object, which keeps track of all the times a particularUser has logged into the system. And let’s say our user has logged in many times. You’ll have a situation where you have many records in the LoginHistory table.

So what happens when you run a query that joins to the LoginHistory table? Well it will return as many rows as there are entries for that User in the LoginHistory table.

So because of this, Hibernate doesn’t massage the data for you, it just returns exactly what it got from the database. The ball is in your court to tell Hibernate what to do with records it has retrieved.

There are two solutions to this problem:

  1. Declare your joining object as a Set
  2. Make use of Distinct Root Entity Results Transformer

Click Here to Keep Reading

  continue reading

112 episoder

Artwork
iconDel
 
Manage episode 435157845 series 3594147
Indhold leveret af Trevor Page: Java Guru | Programmer | Teacher. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Trevor Page: Java Guru | Programmer | Teacher eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
How to Fix Duplicate Data from Hibernate Queries

This problem was the bane of my existence when I first started using Hibernate because I had no idea where the problem was coming from.

If you’re executing a query and finding that you have a bunch of duplicate records and haven’t a clue why, then you’re in the right place.

You see the problem is typically caused by having left joins (or optional joins) in your objects. When you have a base object, like say User and it joins to another table/object in an optional One-to-Many or optional Many-to-Many format, then you may get duplicates.

Consider this scenario… A User objects joins to the LoginHistory object, which keeps track of all the times a particularUser has logged into the system. And let’s say our user has logged in many times. You’ll have a situation where you have many records in the LoginHistory table.

So what happens when you run a query that joins to the LoginHistory table? Well it will return as many rows as there are entries for that User in the LoginHistory table.

So because of this, Hibernate doesn’t massage the data for you, it just returns exactly what it got from the database. The ball is in your court to tell Hibernate what to do with records it has retrieved.

There are two solutions to this problem:

  1. Declare your joining object as a Set
  2. Make use of Distinct Root Entity Results Transformer

Click Here to Keep Reading

  continue reading

112 episoder

모든 에피소드

×
 
Loading …

Velkommen til Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Hurtig referencevejledning

Lyt til dette show, mens du udforsker
Afspil